We performed a comparison between Dynatrace and Elastic Observability based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Dynatrace is favored for its comprehensive features, real-user monitoring, session replay, and synthetic monitoring capabilities. It also has a highly praised AI engine for root cause analysis and offers good visibility and thorough scanning of services and applications.
"The ability to drill down from an alert into a problem and pinpoint the source of an issue saves my client teams hours of time."
"Dynatrace has helped us reduce outage times and severity of impact."
"Having OneAgent is the most valuable feature of Dyantrace, as well as the monitoring."
"Reduces troubleshooting time by finding problems before the system is launched."
"The most valuable feature is capture of 100% of the traffic. Also, exposure to downstream services, that might not necessarily be new, to everybody who's using applications. It triggers them and captures them and it gives visibility to some pieces that might be forgotten or even obscured."
"The PurePaths are valuable because that's where somebody who is a non-developer can figure out where the problem is and send appropriate PurePaths, clean charts, or even the link to the developer. The developer can then look at it and figure out exactly where the problem is, this is the piece of code that took the longest time, and then resolve it."
"Overall, it has provided improved stability to our system both within prod and non-prod environments."
"The autodiscovery of service intercommunication has saved countless man hours and is dynamically updated when new services are added."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"We can view and connect different sources to the dashboard using it."
"The solution allows us to dig deep into data."
"The most valuable feature of Elastic Observability is the text search."
"I have built a mini business intelligence system based on Elastic Observability."
"When the tool ingests data from other tools, being able to correlate those with the existing topology, so that the AI engine can draw more conclusions in case Dynatrace does not monitor those instances."
"The configuration of this solution is quite complex."
"Dashboarding and having different templates available for more business reporting, or even other metrics, would be useful."
"They need better infrastructure monitoring. New Relic is beating them for infrastructure monitoring."
"The functionality needs improvement."
"Sometimes we get incidences during the US morning when we are not at the office. If I can get the benefit of a solution, which can alert us and solve itself. It is an automation thing where we do not want to wake up late at night and work on the application."
"This solution needs better support for security and monolithic batch processes."
"Searches should be faster."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"The cost must be made more transparent."
"Elastic Observability’s price could be improved."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"There could be more low-code features included in the product."
"The interface could be improved."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 341 reviews while Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews. Dynatrace is rated 8.8, while Elastic Observability is rated 7.8. The top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". On the other hand, the top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Grafana, whereas Elastic Observability is most compared with New Relic, AppDynamics, Azure Monitor, Sentry and Datadog. See our Dynatrace vs. Elastic Observability report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best Log Management vendors, and best Container Monitoring vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.